AI and the Pay Gap                            The Legal Risk Employers Can't Ignore

Imagine this: an organisation rolls out a sleek AI-driven performance tool designed to calculate bonuses. It pulls in data on productivity, collaboration, and goal completion, then delivers its verdict; a 15 per cent bonus for one employee and only 8 per cent for another, despite their records looking almost identical. When the results are challenged, the algorithm reveals patterns that seem to penalise certain demographic groups. Suddenly, a tool that promised efficiency looks suspiciously like it is entrenching bias. A frightening question then emerges: who is responsible when a machine makes a discriminatory pay decision?

Download Whitepaper to find out more